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作者：Ruan, Hongfei; Tong, Li; Zhang, Ying; Xiang, Yi; Tian, Xiaocong
作者单位：Harbin Institute of Technology; Peking University; Northwestern Polytechnical University; Xi'an Jiaotong University; Shandong University
摘要：Drawing upon the interplay between information discount costs and proprietary costs, we argue that greater communication substantiveness can help reduce information asymmetry, thereby enhancing investor understanding and firm valuation. However, excessive communication substantiveness may expose firms to proprietary risks such as the risk of revealing strategic knowledge to competitors. We theorize an inverted U-shaped relationship between corporate strategy uniqueness and communication substa...
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作者：Raimi, Ryan; Lowry, Paul Benjamin; Straub, Detmar W.
作者单位：University of Texas System; University of Texas Dallas; Virginia Polytechnic Institute & State University; Pennsylvania Commonwealth System of Higher Education (PCSHE); Temple University
摘要：Insufficient patient disclosure and persistent stigma undermine effective mental health care; a challenge magnified during the COVID-19 pandemic. Telehealth offers a promising avenue to reduce access barriers and improve equity, yet its effectiveness depends on patients' willingness to disclose sensitive information online. This study develops a middle-range, contextually adapted version of the disclosure processes model (DPM) to explain and predict how stigma and technological features shape ...
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作者：Ghasemaghaei, Maryam
作者单位：McMaster University
摘要：As organizations increasingly adopt artificial intelligence (AI) systems to support high-stakes decisions, a pressing concern is whether AI behavior visibly aligns with the organization's stated values. Anchored in Mayer et al.'s integrative model of trust and psychological contract breach theory, this study investigates how organizational-AI misalignment, a structural inconsistency between the organization's stated policy (Talk) and the AI system's recommendation (Walk), affects users' integr...
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作者：Qiao, Dandan; Rui, Huaxia; Xiong, Qian
作者单位：National University of Singapore; University of Rochester
摘要：This study investigates how artificial intelligence (AI) influences various online labor markets (OLMs) over time. Employing the Difference-in-Differences method, we discovered two distinct scenarios following ChatGPT's launch: displacement effects featuring reduced work volume and earnings, exemplified by translation & localization OLM; productivity effects featuring increased work volume and earnings, exemplified by web development OLM. To understand these opposite effects in a unified frame...
